CaIon
528 lines
14 KiB
Go
528 lines
14 KiB
Go
package ollama
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import (
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"bufio"
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"encoding/json"
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"fmt"
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"io"
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"net/http"
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"strings"
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"time"
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"github.com/QuantumNous/new-api/common"
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"github.com/QuantumNous/new-api/dto"
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relaycommon "github.com/QuantumNous/new-api/relay/common"
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"github.com/QuantumNous/new-api/service"
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"github.com/QuantumNous/new-api/types"
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"github.com/gin-gonic/gin"
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)
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func openAIChatToOllamaChat(c *gin.Context, r *dto.GeneralOpenAIRequest) (*OllamaChatRequest, error) {
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chatReq := &OllamaChatRequest{
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Model: r.Model,
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Stream: r.Stream,
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Options: map[string]any{},
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Think: r.Think,
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}
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if r.ResponseFormat != nil {
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if r.ResponseFormat.Type == "json" {
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chatReq.Format = "json"
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} else if r.ResponseFormat.Type == "json_schema" {
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if len(r.ResponseFormat.JsonSchema) > 0 {
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var schema any
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_ = json.Unmarshal(r.ResponseFormat.JsonSchema, &schema)
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chatReq.Format = schema
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}
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}
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}
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// options mapping
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if r.Temperature != nil {
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chatReq.Options["temperature"] = r.Temperature
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}
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if r.TopP != 0 {
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chatReq.Options["top_p"] = r.TopP
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}
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if r.TopK != 0 {
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chatReq.Options["top_k"] = r.TopK
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}
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if r.FrequencyPenalty != 0 {
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chatReq.Options["frequency_penalty"] = r.FrequencyPenalty
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}
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if r.PresencePenalty != 0 {
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chatReq.Options["presence_penalty"] = r.PresencePenalty
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}
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if r.Seed != 0 {
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chatReq.Options["seed"] = int(r.Seed)
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}
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if mt := r.GetMaxTokens(); mt != 0 {
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chatReq.Options["num_predict"] = int(mt)
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}
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if r.Stop != nil {
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switch v := r.Stop.(type) {
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case string:
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chatReq.Options["stop"] = []string{v}
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case []string:
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chatReq.Options["stop"] = v
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case []any:
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arr := make([]string, 0, len(v))
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for _, i := range v {
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if s, ok := i.(string); ok {
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arr = append(arr, s)
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}
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}
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if len(arr) > 0 {
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chatReq.Options["stop"] = arr
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}
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}
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}
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if len(r.Tools) > 0 {
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tools := make([]OllamaTool, 0, len(r.Tools))
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for _, t := range r.Tools {
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tools = append(tools, OllamaTool{Type: "function", Function: OllamaToolFunction{Name: t.Function.Name, Description: t.Function.Description, Parameters: t.Function.Parameters}})
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}
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chatReq.Tools = tools
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}
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chatReq.Messages = make([]OllamaChatMessage, 0, len(r.Messages))
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for _, m := range r.Messages {
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var textBuilder strings.Builder
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var images []string
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if m.IsStringContent() {
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textBuilder.WriteString(m.StringContent())
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} else {
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parts := m.ParseContent()
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for _, part := range parts {
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if part.Type == dto.ContentTypeImageURL {
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img := part.GetImageMedia()
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if img != nil && img.Url != "" {
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// 使用统一的文件服务获取图片数据
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var source *types.FileSource
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if strings.HasPrefix(img.Url, "http") {
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source = types.NewURLFileSource(img.Url)
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} else {
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source = types.NewBase64FileSource(img.Url, "")
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}
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base64Data, _, err := service.GetBase64Data(c, source, "fetch image for ollama chat")
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if err != nil {
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return nil, err
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}
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if base64Data != "" {
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images = append(images, base64Data)
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}
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}
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} else if part.Type == dto.ContentTypeText {
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textBuilder.WriteString(part.Text)
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}
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}
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}
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cm := OllamaChatMessage{Role: m.Role, Content: textBuilder.String()}
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if len(images) > 0 {
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cm.Images = images
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}
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if m.Role == "tool" && m.Name != nil {
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cm.ToolName = *m.Name
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}
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if m.ToolCalls != nil && len(m.ToolCalls) > 0 {
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parsed := m.ParseToolCalls()
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if len(parsed) > 0 {
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calls := make([]OllamaToolCall, 0, len(parsed))
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for _, tc := range parsed {
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var args interface{}
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if tc.Function.Arguments != "" {
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_ = json.Unmarshal([]byte(tc.Function.Arguments), &args)
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}
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if args == nil {
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args = map[string]any{}
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}
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oc := OllamaToolCall{}
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oc.Function.Name = tc.Function.Name
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oc.Function.Arguments = args
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calls = append(calls, oc)
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}
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cm.ToolCalls = calls
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}
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}
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chatReq.Messages = append(chatReq.Messages, cm)
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}
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return chatReq, nil
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}
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// openAIToGenerate converts OpenAI completions request to Ollama generate
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func openAIToGenerate(c *gin.Context, r *dto.GeneralOpenAIRequest) (*OllamaGenerateRequest, error) {
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gen := &OllamaGenerateRequest{
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Model: r.Model,
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Stream: r.Stream,
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Options: map[string]any{},
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Think: r.Think,
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}
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// Prompt may be in r.Prompt (string or []any)
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if r.Prompt != nil {
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switch v := r.Prompt.(type) {
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case string:
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gen.Prompt = v
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case []any:
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var sb strings.Builder
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for _, it := range v {
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if s, ok := it.(string); ok {
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sb.WriteString(s)
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}
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}
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gen.Prompt = sb.String()
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default:
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gen.Prompt = fmt.Sprintf("%v", r.Prompt)
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}
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}
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if r.Suffix != nil {
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if s, ok := r.Suffix.(string); ok {
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gen.Suffix = s
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}
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}
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if r.ResponseFormat != nil {
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if r.ResponseFormat.Type == "json" {
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gen.Format = "json"
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} else if r.ResponseFormat.Type == "json_schema" {
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var schema any
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_ = json.Unmarshal(r.ResponseFormat.JsonSchema, &schema)
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gen.Format = schema
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}
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}
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if r.Temperature != nil {
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gen.Options["temperature"] = r.Temperature
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}
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if r.TopP != 0 {
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gen.Options["top_p"] = r.TopP
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}
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if r.TopK != 0 {
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gen.Options["top_k"] = r.TopK
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}
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if r.FrequencyPenalty != 0 {
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gen.Options["frequency_penalty"] = r.FrequencyPenalty
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}
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if r.PresencePenalty != 0 {
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gen.Options["presence_penalty"] = r.PresencePenalty
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}
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if r.Seed != 0 {
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gen.Options["seed"] = int(r.Seed)
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}
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if mt := r.GetMaxTokens(); mt != 0 {
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gen.Options["num_predict"] = int(mt)
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}
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if r.Stop != nil {
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switch v := r.Stop.(type) {
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case string:
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gen.Options["stop"] = []string{v}
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case []string:
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gen.Options["stop"] = v
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case []any:
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arr := make([]string, 0, len(v))
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for _, i := range v {
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if s, ok := i.(string); ok {
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arr = append(arr, s)
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}
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}
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if len(arr) > 0 {
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gen.Options["stop"] = arr
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}
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}
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}
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return gen, nil
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}
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func requestOpenAI2Embeddings(r dto.EmbeddingRequest) *OllamaEmbeddingRequest {
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opts := map[string]any{}
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if r.Temperature != nil {
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opts["temperature"] = r.Temperature
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}
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if r.TopP != 0 {
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opts["top_p"] = r.TopP
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}
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if r.FrequencyPenalty != 0 {
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opts["frequency_penalty"] = r.FrequencyPenalty
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}
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if r.PresencePenalty != 0 {
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opts["presence_penalty"] = r.PresencePenalty
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}
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if r.Seed != 0 {
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opts["seed"] = int(r.Seed)
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}
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if r.Dimensions != 0 {
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opts["dimensions"] = r.Dimensions
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}
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input := r.ParseInput()
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if len(input) == 1 {
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return &OllamaEmbeddingRequest{Model: r.Model, Input: input[0], Options: opts, Dimensions: r.Dimensions}
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}
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return &OllamaEmbeddingRequest{Model: r.Model, Input: input, Options: opts, Dimensions: r.Dimensions}
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}
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func ollamaEmbeddingHandler(c *gin.Context, info *relaycommon.RelayInfo, resp *http.Response) (*dto.Usage, *types.NewAPIError) {
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var oResp OllamaEmbeddingResponse
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body, err := io.ReadAll(resp.Body)
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if err != nil {
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return nil, types.NewOpenAIError(err, types.ErrorCodeBadResponseBody, http.StatusInternalServerError)
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}
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service.CloseResponseBodyGracefully(resp)
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if err = common.Unmarshal(body, &oResp); err != nil {
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return nil, types.NewOpenAIError(err, types.ErrorCodeBadResponseBody, http.StatusInternalServerError)
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}
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if oResp.Error != "" {
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return nil, types.NewOpenAIError(fmt.Errorf("ollama error: %s", oResp.Error), types.ErrorCodeBadResponseBody, http.StatusInternalServerError)
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}
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data := make([]dto.OpenAIEmbeddingResponseItem, 0, len(oResp.Embeddings))
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for i, emb := range oResp.Embeddings {
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data = append(data, dto.OpenAIEmbeddingResponseItem{Index: i, Object: "embedding", Embedding: emb})
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}
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usage := &dto.Usage{PromptTokens: oResp.PromptEvalCount, CompletionTokens: 0, TotalTokens: oResp.PromptEvalCount}
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embResp := &dto.OpenAIEmbeddingResponse{Object: "list", Data: data, Model: info.UpstreamModelName, Usage: *usage}
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out, _ := common.Marshal(embResp)
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service.IOCopyBytesGracefully(c, resp, out)
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return usage, nil
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}
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func FetchOllamaModels(baseURL, apiKey string) ([]OllamaModel, error) {
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url := fmt.Sprintf("%s/api/tags", baseURL)
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client := &http.Client{}
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request, err := http.NewRequest("GET", url, nil)
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if err != nil {
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return nil, fmt.Errorf("创建请求失败: %v", err)
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}
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// Ollama 通常不需要 Bearer token，但为了兼容性保留
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if apiKey != "" {
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request.Header.Set("Authorization", "Bearer "+apiKey)
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}
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response, err := client.Do(request)
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if err != nil {
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return nil, fmt.Errorf("请求失败: %v", err)
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}
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defer response.Body.Close()
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if response.StatusCode != http.StatusOK {
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body, _ := io.ReadAll(response.Body)
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return nil, fmt.Errorf("服务器返回错误 %d: %s", response.StatusCode, string(body))
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}
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var tagsResponse OllamaTagsResponse
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body, err := io.ReadAll(response.Body)
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if err != nil {
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return nil, fmt.Errorf("读取响应失败: %v", err)
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}
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err = common.Unmarshal(body, &tagsResponse)
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if err != nil {
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return nil, fmt.Errorf("解析响应失败: %v", err)
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}
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return tagsResponse.Models, nil
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}
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// 拉取 Ollama 模型 (非流式)
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func PullOllamaModel(baseURL, apiKey, modelName string) error {
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url := fmt.Sprintf("%s/api/pull", baseURL)
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pullRequest := OllamaPullRequest{
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Name: modelName,
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Stream: false, // 非流式，简化处理
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}
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requestBody, err := common.Marshal(pullRequest)
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if err != nil {
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return fmt.Errorf("序列化请求失败: %v", err)
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}
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client := &http.Client{
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Timeout: 30 * 60 * 1000 * time.Millisecond, // 30分钟超时，支持大模型
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}
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request, err := http.NewRequest("POST", url, strings.NewReader(string(requestBody)))
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if err != nil {
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return fmt.Errorf("创建请求失败: %v", err)
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}
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request.Header.Set("Content-Type", "application/json")
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if apiKey != "" {
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request.Header.Set("Authorization", "Bearer "+apiKey)
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}
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response, err := client.Do(request)
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if err != nil {
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return fmt.Errorf("请求失败: %v", err)
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}
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defer response.Body.Close()
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if response.StatusCode != http.StatusOK {
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body, _ := io.ReadAll(response.Body)
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return fmt.Errorf("拉取模型失败 %d: %s", response.StatusCode, string(body))
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}
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return nil
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}
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// 流式拉取 Ollama 模型 (支持进度回调)
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func PullOllamaModelStream(baseURL, apiKey, modelName string, progressCallback func(OllamaPullResponse)) error {
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url := fmt.Sprintf("%s/api/pull", baseURL)
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pullRequest := OllamaPullRequest{
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Name: modelName,
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Stream: true, // 启用流式
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}
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requestBody, err := common.Marshal(pullRequest)
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if err != nil {
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return fmt.Errorf("序列化请求失败: %v", err)
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}
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client := &http.Client{
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Timeout: 60 * 60 * 1000 * time.Millisecond, // 1小时超时，支持超大模型
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}
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request, err := http.NewRequest("POST", url, strings.NewReader(string(requestBody)))
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if err != nil {
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return fmt.Errorf("创建请求失败: %v", err)
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}
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request.Header.Set("Content-Type", "application/json")
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if apiKey != "" {
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request.Header.Set("Authorization", "Bearer "+apiKey)
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}
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response, err := client.Do(request)
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if err != nil {
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return fmt.Errorf("请求失败: %v", err)
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}
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defer response.Body.Close()
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if response.StatusCode != http.StatusOK {
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body, _ := io.ReadAll(response.Body)
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return fmt.Errorf("拉取模型失败 %d: %s", response.StatusCode, string(body))
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}
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// 读取流式响应
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scanner := bufio.NewScanner(response.Body)
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successful := false
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for scanner.Scan() {
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line := scanner.Text()
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if strings.TrimSpace(line) == "" {
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continue
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}
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var pullResponse OllamaPullResponse
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if err := common.Unmarshal([]byte(line), &pullResponse); err != nil {
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continue // 忽略解析失败的行
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}
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if progressCallback != nil {
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progressCallback(pullResponse)
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}
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// 检查是否出现错误或完成
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if strings.EqualFold(pullResponse.Status, "error") {
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return fmt.Errorf("拉取模型失败: %s", strings.TrimSpace(line))
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}
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if strings.EqualFold(pullResponse.Status, "success") {
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successful = true
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break
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}
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}
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if err := scanner.Err(); err != nil {
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return fmt.Errorf("读取流式响应失败: %v", err)
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}
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if !successful {
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return fmt.Errorf("拉取模型未完成: 未收到成功状态")
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}
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return nil
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}
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// 删除 Ollama 模型
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func DeleteOllamaModel(baseURL, apiKey, modelName string) error {
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url := fmt.Sprintf("%s/api/delete", baseURL)
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deleteRequest := OllamaDeleteRequest{
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Name: modelName,
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}
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requestBody, err := common.Marshal(deleteRequest)
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if err != nil {
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return fmt.Errorf("序列化请求失败: %v", err)
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}
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client := &http.Client{}
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request, err := http.NewRequest("DELETE", url, strings.NewReader(string(requestBody)))
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if err != nil {
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return fmt.Errorf("创建请求失败: %v", err)
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}
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request.Header.Set("Content-Type", "application/json")
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if apiKey != "" {
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request.Header.Set("Authorization", "Bearer "+apiKey)
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}
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response, err := client.Do(request)
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if err != nil {
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return fmt.Errorf("请求失败: %v", err)
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}
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defer response.Body.Close()
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if response.StatusCode != http.StatusOK {
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body, _ := io.ReadAll(response.Body)
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return fmt.Errorf("删除模型失败 %d: %s", response.StatusCode, string(body))
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}
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return nil
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}
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func FetchOllamaVersion(baseURL, apiKey string) (string, error) {
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trimmedBase := strings.TrimRight(baseURL, "/")
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if trimmedBase == "" {
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return "", fmt.Errorf("baseURL 为空")
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}
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url := fmt.Sprintf("%s/api/version", trimmedBase)
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client := &http.Client{Timeout: 10 * time.Second}
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request, err := http.NewRequest("GET", url, nil)
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if err != nil {
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return "", fmt.Errorf("创建请求失败: %v", err)
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}
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if apiKey != "" {
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request.Header.Set("Authorization", "Bearer "+apiKey)
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}
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response, err := client.Do(request)
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if err != nil {
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return "", fmt.Errorf("请求失败: %v", err)
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}
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defer response.Body.Close()
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body, err := io.ReadAll(response.Body)
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if err != nil {
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return "", fmt.Errorf("读取响应失败: %v", err)
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}
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if response.StatusCode != http.StatusOK {
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return "", fmt.Errorf("查询版本失败 %d: %s", response.StatusCode, string(body))
|
|
}
|
|
|
|
var versionResp struct {
|
|
Version string `json:"version"`
|
|
}
|
|
|
|
if err := json.Unmarshal(body, &versionResp); err != nil {
|
|
return "", fmt.Errorf("解析响应失败: %v", err)
|
|
}
|
|
|
|
if versionResp.Version == "" {
|
|
return "", fmt.Errorf("未返回版本信息")
|
|
}
|
|
|
|
return versionResp.Version, nil
|
|
}
|